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单词 Feedforward neural network
释义

Feedforward neural network

中文百科

前馈神经网络

Una red neuronal de dos capas capaz de realizar una operación XOR. Los números dentro de las neuronas representan el umbral explícito de cada neurona (los cuáles pueden ser factorizados de modo que todas las neuronas tengan el mismo umbral, normalmente 1). Los números a los lados de las flechas representan la ponderación de las entradas. Esto red supone que si el umbral no es alcanzado, un cero (no -1) será la salidá. Note que la capa inferior de las entradas no es siempre considerada como una capa de red neuronal real.
In a feed forward network information always moves one direction; it never goes backwards.

在人工神经网络中，前馈神经网络（Feedforward Neural Network）是最早发明，最简单的人工神经网络类型。在它内部，参数从输入层向输出层单向传播。和递归神经网络不同，它内部不会构成有向环。

英语百科

Feedforward neural network 前馈神经网络

In a feed forward network information always moves one direction; it never goes backwards.
A two-layer neural network capable of calculating XOR. The numbers within the neurons represent each neuron's explicit threshold (which can be factored out so that all neurons have the same threshold, usually 1). The numbers that annotate arrows represent the weight of the inputs. This net assumes that if the threshold is not reached, zero (not -1) is output. Note that the bottom layer of inputs is not always considered a real neural network layer

A feedforward neural network is an artificial neural network where connections between the units do not form a cycle. This is different from recurrent neural networks.

The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction, forward, from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.
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更新时间：2025/6/22 22:31:02